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Prediction Analysis of the Coordinated Development of the Sports and Pension Industries: Taking 11 Provinces and Cities in the Yangtze River Economic Belt of China as an Example

Author

Listed:
  • Lin Zhuo

    (Sports Industry Development Research Center of Fujian Jiangxia University, Fujian Jiangxia University, Fuzhou 350108, China)

  • Xiangfeng Guan

    (Sports Industry Development Research Center of Fujian Jiangxia University, Fujian Jiangxia University, Fuzhou 350108, China)

  • Songzhong Ye

    (Sports Industry Development Research Center of Fujian Jiangxia University, Fujian Jiangxia University, Fuzhou 350108, China)

Abstract

In order to promote the coordinated development of the sports and pension industries, it is of great significance to apply the theory of industrial integration to the study of the interaction mechanism of the sports and pension industries, but there is a lack of research in this area at present. This paper firstly constructs the evaluation system of the coupling and coordination development of the sports and pension industries. Secondly, based on the panel data of 11 provinces and cities in the Yangtze River Economic Belt in 2013–2017, this paper analyzes the coupling and coordination relationship between the sports and pension industries by using the entropy method and the coupling coordination model. Finally, the coupling coordination relationship between the two industries in the region in the next five years is predicted using the grey model (1.1), i.e. GM (1.1) model. The results show the following: (1) The development level of the two major industries in 11 provinces and cities of the Yangtze River Economic Belt is generally on the rise, and they have a high correlation. (2) The sports industry is more volatile than the pension industry, and the sports industry has become an effective path dependence to narrow the regional development differences. The sports industry has a weak driving role in the pension industry, while the pension industry has a greater role in promoting the sports industry. (3) There is a large spatial difference in the coupling coordination degree of the sports and pension industries in 11 provinces and cities of the Yangtze River Economic Belt, which will remain in the next five years, though the evolution and upgrading speed of the coupling coordination level will be significantly accelerated.

Suggested Citation

  • Lin Zhuo & Xiangfeng Guan & Songzhong Ye, 2020. "Prediction Analysis of the Coordinated Development of the Sports and Pension Industries: Taking 11 Provinces and Cities in the Yangtze River Economic Belt of China as an Example," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2493-:d:335696
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    References listed on IDEAS

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    1. Rosenberg, Nathan, 1963. "Technological Change in the Machine Tool Industry, 1840–1910," The Journal of Economic History, Cambridge University Press, vol. 23(4), pages 414-443, December.
    2. Ya-Ling Huang, 2012. "Forecasting the demand for health tourism in Asian countries using a GM(1,1)-Alpha model," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 18(2), pages 171-181, December.
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    Cited by:

    1. Shuchao Wang & Peishu Chen & Weicai Peng, 2023. "Environmental assessment of regional cooperative elderly care: a case study of the Yangtze River Delta," Economic Change and Restructuring, Springer, vol. 56(6), pages 3979-4007, December.
    2. Jinfu Xu & Shaoxiong Yang & Yu Lin & Ruoyu Yang, 2021. "An evaluation of coupling coordination between sports industry and health service industry in China," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-21, August.
    3. Zhou, Shengjia & Wang, Junhao & Xu, Bing, 2022. "Innovative coupling and coordination: Automobile and digital industries," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

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